Search Results (431)

This study aims to evaluate the level of awareness and practical adoption of green wall systems in the Nigerian construction industry. It seeks to examine the current state of green wall implementation and recommend strategies to enhance their integration into construction practices among Nigerian construction professionals. A thorough review of the existing literature was conducted to identify different types of green wall systems. Insights from this review informed the design of a structured questionnaire, which was distributed to construction professionals based in Lagos State. The data collected were analyzed using statistical tests. The study reveals that while there is generally high awareness of green wall systems among Nigerian construction professionals, the practical use remains low, with just 8 out of the 18 systems being actively implemented, eclipsing the mean value of 3.0. The findings underscore the need for targeted education, industry incentives, and increased advocacy to encourage the use of green wall systems in the Nigerian construction sector. The results have significant implications for the Nigerian construction industry. The limited awareness and adoption of green wall systems highlight the need for strategic actions from policymakers, industry leaders and educational institutions. Promoting the use of green walls could drive more sustainable building practices, improve environmental outcomes and support the broader goals of decarbonization and circularity in construction. This research adds to the body of knowledge on sustainable construction by offering a detailed evaluation of green wall awareness and adoption within the Nigerian context. While green wall systems have been studied globally, this research provides a regional perspective, which in this case focuses on Lagos State. The study’s recognition of the gap between awareness and implementation highlights an important area for future research and industry development. Full article

Driven by industry–education integration and digital technology, higher vocational education textbooks are transitioning from traditional formats to an integrated “loose-leaf + digital” model. Combining the flexibility of loose-leaf textbooks with digital technology, these new materials enable real-time updates and align closely with industry practices. We explored the era connotations of integrated textbooks and proposed a development process based on cognitive psychology, interdisciplinary integration, and synergy theory. Continuous optimization through robust evaluation systems and digital platforms is required to provide modernized and informatized vocational education. Full article

This study, based on engineering education accreditation standards, addresses the supply–demand imbalance in China’s cybersecurity talent cultivation by constructing a sustainable “education-industry-society” collaborative model. Through case studies at Huaihua University and other institutions, employing methods such as literature analysis, field research, and empirical investigation, we systematically explore reform pathways for an innovative cybersecurity talent development system. The research proposes a “three-platform, four-module” practical teaching framework, where the coordinated operation of the basic skills training platform, comprehensive ability development platform, and innovation enhancement platform significantly improves students’ engineering competencies (practical courses account for 41.6% of the curriculum). Findings demonstrate that eight industry-academia practice bases established through deep collaboration effectively align teaching content with industry needs, substantially enhancing students’ innovative and practical abilities (172 national awards, 649 provincial awards). Additionally, the multi-dimensional evaluation mechanism developed in this study enables a comprehensive assessment of students’ professional skills, practical capabilities, and innovative thinking. These reforms have increased the employment rate of cybersecurity graduates to over 90%, providing a replicable solution to China’s talent shortage. The research outcomes offer valuable insights for discipline development under engineering education accreditation and contribute to implementing sustainable development concepts in higher education. Full article

Workforce transformation is one of the most pressing challenges in the AI-driven construction industry, as traditional skilled labour roles are rapidly evolving into more interdisciplinary, digitally enabled positions. This study aims to investigate how AI is fundamentally reshaping skill requirements within the construction sector, to analyse stakeholder perceptions and adaptive responses to workforce transformation, and to explore strategies for optimizing construction workforce development to facilitate the critical transition from traditional “skilled workers” to contemporary “smart talent.” It employs phenomenological qualitative research methodology to conduct in-depth interviews with 20 stakeholders in Chongqing, and uses NVivo 14 to conduct thematic analysis of the data. The findings indicate that AI has penetrated all areas of the construction process and is transforming jobs to more likely be digitalized, collaborative, and multi-faceted. However, significant cognitive disparities and varying adaptive capacities among different stakeholder groups have created structural imbalances within the workforce development ecosystem. Based on these key findings, a four-pillar talent development strategy is proposed, encompassing institutional support, educational reform, enterprise engagement, and group development, while stressing the necessity for systemic-orchestrated coordination to reimagine a smart talent ecosystem. This study advances theoretical understanding of digital transformation within construction labour markets, while offering real pathways and institutional contexts for developing regions that desire to pursue workforce transformation and sustainable industrial development in the AI era. Full article

The HoReCa (Hotels, Restaurants, and Cafes) sector plays a pivotal role in the economy due to its strong connections with various other industries, including agriculture, food and beverage, construction, packaging, waste management, water, and textiles. Given its broad impact, understanding the perceptions of students—emerging consumers and future professionals—could provide valuable insights for businesses seeking to enhance sustainable practices in ways that resonate with younger generations and improve their competitiveness. However, there is still limited understanding of how students perceive and engage with sustainability in this sector. This study explores student perceptions of sustainability practices within the HoReCa sector, examining their awareness levels, expectations, and behavior. The objective is to assess how effectively current business approaches align with student values regarding sustainability initiatives and identify key factors influencing their engagement. A structured questionnaire was distributed among university students, and the collected data was analyzed using statistical techniques to identify meaningful trends and correlations. Findings revealed a notable disconnect between students’ professed sustainability values and their actual behavior. Primary obstacles included price sensitivity, skepticism toward environmental marketing claims, and insufficient access to clear sustainability information from businesses. Despite supporting sustainable initiatives in principle, students often struggle to translate their values into purchasing decisions. The research suggests that greater business transparency, enhanced sustainability education, and incentive programs could foster increased student engagement. Full article

Organisations have provided health and safety (H&S) control measures for construction activities, but the literature suggests that implementing these measures in the construction industry remains a challenge. This study aims to explore the factors impeding the implementation of H&S control measures (barriers). The study followed a qualitative research approach using interview form as a data collection tool designed to collect qualitative data on the factors impeding the implementation of H&S control measures. Purposive sampling method was adopted. The content analysis method was used to analyse the collected data. The findings reveal that the implementation of H&S control measures is affected by different barriers. The study uncovered eight main barriers (lack of management support and commitment, implementation costs, lack of training and education, language and cultural differences, time pressure, prioritisation of production over H&S issues, lack of worker involvement and participation and lack of communication) to the implementation of H&S control measures. Respondents were mainly from H&S background; it would be interesting to explore the perceptions of site managers, engineers, designers, supervisors and field workers through the use of a quantitative approach involving a larger sample. By identifying and understanding these barriers to the implementation of H&S control measures, construction organisations could be in a better position to control construction hazards. This paper adds value to construction organisations and professionals’ understanding of barriers to the implementation of H&S control measures on construction sites. The study also recommends measures to remove barriers or facilitate better implementation of H&S control measures on construction sites. Full article

This study explores the use of Large Language Models (LLMs), specifically GPT, for different safety management applications in the construction industry. Many studies have explored the integration of GPT in construction safety for various applications; their primary focus has been on the feasibility of such integration, often using GPT models for specific applications rather than a thorough evaluation of GPT’s limitations and capabilities. In contrast, this study aims to provide a comprehensive assessment of GPT’s performance based on established key criteria. Using structured use cases, this study explores GPT’s strength and weaknesses in four construction safety areas: (1) delivering personalized safety training and educational content tailored to individual learner needs; (2) automatically analyzing post-accident reports to identify root causes and suggest preventive measures; (3) generating customized safety guidelines and checklists to support site compliance; and (4) providing real-time assistance for managing daily safety tasks and decision-making on construction sites. LLMs and NLP have already been employed in each of these four areas for improvement, making them suitable areas for further investigation. GPT demonstrated acceptable performance in delivering evidence-based, regulation-aligned responses, making it valuable for scaling personalized training, automating accident analyses, and developing safety protocols. Additionally, it provided real-time safety support through interactive dialogues. However, the model showed limitations in deeper critical analysis, extrapolating information, and adapting to dynamic environments. The study concludes that while GPT holds significant promise for enhancing construction safety, further refinement is necessary. This includes fine-tuning for more relevant safety-specific outcomes, integrating real-time data for contextual awareness, and developing a nuanced understanding of safety risks. These improvements, coupled with human oversight, could make GPT a robust tool for safety management. Full article

The continuous evolution of technology compels higher education leaders to adapt to VUCA (volatile, uncertain, complex, and ambiguous) and BANI (brittle, anxious, non-linear, and incomprehensible) environments through innovative strategies that ensure institutional relevance. While VUCA emphasizes the challenges posed by rapid change and uncertain decision-making, BANI underscores the fragility of systems, heightened anxiety, unpredictable causality, and the collapse of established patterns. Navigating these complexities requires agility, resilience, and visionary leadership to ensure that institutions remain adaptable and future ready. This study presents a bibliometric analysis of digital academic leadership in higher education transformation, examining empirical studies, reviews, book chapters, and proceeding papers published from 2014 to 2024 (11-year period) in the Web of Science—Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI). Using CiteSpace software (version 6.3. R1-64 bit), we analyzed 5837 documents, identifying 24 key publications that formed a network of 90 nodes and 256 links. The reduction to 24 publications occurred as part of a structured bibliometric analysis using CiteSpace, which employs algorithmic thresholds to identify the most influential and structurally significant publications within a large corpus. These 24 documents form the core co-citation network, which serves as a conceptual backbone for further thematic interpretation. This was the result of a multi-step refinement process using CiteSpace’s default thresholds and clustering algorithms to detect the most influential nodes based on centrality, citation burst, and network clustering. Our findings reveal six primary research clusters: “Enhancing Academic Performance”, “Digital Leadership Scale Adaptation”, “Construction Industry”, “Innovative Work Behavior”, “Development Business Strategy”, and “Education.” The analysis demonstrates a significant increase in publications over the decade, with the highest concentration in 2024, reflecting growing scholarly interest in this field. Keywords analysis shows “digital leadership”, “digital transformation”, “performance”, and “innovation” as dominant terms, highlighting the field’s evolution from technology-focused approaches to holistic leadership frameworks. Geographical analysis reveals significant contributions from Pakistan, Ireland, and India, indicating valuable insights emerging from diverse global contexts. These findings suggest that effective digital academic leadership requires not only technical competencies but also transformational capabilities, communication skills, and innovation management to enhance student outcomes and institutional performance in an increasingly digitalized educational landscape. Full article

The integrative and transformative potential of Building Information Modeling (BIM) has significantly expanded employment opportunities in the construction sector. This study investigates the consistency between BIM-related job market demands and the UNI 11337-7 role definitions in Italy, contributing to the broader dialogue on the alignment between employment, policy, and education. A dataset of 261 BIM-related job advertisements collected from LinkedIn in the Italian context was analyzed using a term frequency-based methodology. Reference keyword sets derived from the UNI 11337-7 standard were established for the BIM Specialist, BIM Coordinator, BIM Manager, and CDE Manager roles. The analysis reveals a significant misalignment: only 30% of the advertisements clearly reflect the competencies defined by the standard, while 70% appear vague or inconsistent. These findings suggest limited awareness or uneven application of BIM role definitions within the industry. This study offers a quantitative assessment of the alignment between employment demand and professional standards and proposes a replicable method for benchmarking job market data. It also highlights the need for clearer communication and stronger implementation of standardized professional roles to effectively support the digital transformation of the construction sector. Full article

Background: The integration of mining and urban spaces in coal-resource-based cities holds significant implications for urban transformation and sustainable development. However, existing research lacks an in-depth analysis of its characteristics and driving factors. Methods: This study takes the central urban area of Huaibei City as a case, utilizing historical documents, POI data, and spatial analysis methods to explore the evolution patterns and influencing factors of mining–urban spatial integration. Standard deviation ellipse analysis was employed to examine historical spatial changes, while a binary logistic regression model and principal component analysis were constructed based on 300 m × 300 m grid units to assess the roles of 11 factors, including location, transportation, commerce, and natural environment. Results: The results indicate that mining–urban spatial integration exhibits characteristics of lag, clustering, transportation dominance, and continuity. Commercial activity density, particularly leisure, dining, and shopping facilities, serves as a core driving factor. Road network density, along with the areas of educational and residential zones, positively promotes integration, whereas water surface areas (such as subsidence zones) significantly inhibit it. Among high-integration areas, Xiangshan District stands as the most economically prosperous city center; Lieshan–Yangzhuang mining area blends traditional and modern elements; and Zhuzhuang–Zhangzhuang mining area reflects the industrial landscape post-transformation. Conclusions: The study reveals diverse integration patterns under the synergistic effects of multiple factors, providing a scientific basis for optimizing spatial layouts and coordinating mining–urban development in coal-resource-based cities. Future research should continue to pay attention to the dynamic changes of spatial integration of mining cities, explore more effective integrated development models, and promote the rational and efficient use of urban space and the sustainable development of cities. Full article

Extensive research in the field of construction safety has predominantly focused on identifying the causes and impacts of construction accidents, evaluating safety plans, assessing the effectiveness of safety education materials, and analyzing relevant policies. However, comparatively limited attention has been given to the systematic formation, management, and utilization of safety-related information and knowledge. Despite significant advancements in information and knowledge management technologies across the architecture, engineering, and construction (AEC) industries, their application in construction safety remains underdeveloped. This study addresses this gap by proposing a novel ontology-based framework specifically designed for construction safety management. Unlike previous models, the proposed ontology integrates diverse safety regulations and terminologies into a unified and semantically structured knowledge model. It comprises three primary superclasses covering key areas of construction safety, with an initial focus on fall hazards—one of the most frequent and severe risks, particularly in roofing activities. This domain-specific approach not only improves semantic clarity and standardization but also enhances reusability and extensibility for other risk domains. The ontology was developed using established methodologies and validated through reasoning tools and competency questions. By providing a formally structured, logic-driven knowledge base, the model supports automated safety reasoning, facilitates communication among stakeholders, and lays the foundation for future intelligent safety management systems in construction. This research contributes a validated, extensible, and regulation-aligned ontology model that addresses critical challenges in safety information integration, sharing, and application. Full article

In Japan and China, the construction industries make significant contributions to GDP (gross domestic product). Due to different socioeconomic backgrounds, the construction industries in both countries face different challenges. Recently, Japan’s and China’s construction industries have been focusing on the active development of BIM (building information modeling) technology. Recognized for its unique advantages, BIM technology is considered by both countries as an innovative tool that can be used to resolve industry bottlenecks. This paper presents a comparative study on the application of BIM technology in the construction industries of Japan and China, covering five dimensions: development status, policy framework, specific case applications, SWOT analysis, and awareness in higher education. The results indicate that BIM development in both countries is at a broadly similar stage. However, differences in their construction industries have led to distinct strengths and limitations in BIM application. China holds a comparative advantage in policy-driven promotion, while Japan excels in lifecycle management and operational sustainability. Nevertheless, BIM implementation in China tends to be formalistic, whereas Japan needs to enhance its efforts in BIM education. This study discusses improvement measures and complementary strategies based on these differences, aiming to address existing research gaps and underscore their significance in advancing BIM technologies as well as the construction industries of both countries. Full article

This article presents a series of innovative systems developed through student laboratory projects, comprising two autonomous vehicles, a quadrupedal walking robot, an active ankle-foot orthosis, a ball-on-beam balancing mechanism, a ball-on-plate system, and a manipulator arm, all actuated by pneumatic artificial muscles (PAMs). Due to their flexibility, low weight, and compliance, fluidic muscles demonstrate substantial potential for integration into various mechatronic systems, robotic platforms, and manipulators. Their capacity to generate smooth and adaptive motion is particularly advantageous in applications requiring natural and human-like movements, such as rehabilitation technologies and assistive devices. Despite the inherent challenges associated with nonlinear behavior in PAM-actuated control systems, their biologically inspired design remains promising for a wide range of future applications. Potential domains include industrial automation, the automotive and aerospace sectors, as well as sports equipment, medical assistive devices, entertainment systems, and animatronics. The integration of self-constructed laboratory systems powered by PAMs into control systems education provides a comprehensive pedagogical framework that merges theoretical instruction with practical implementation. This methodology enhances the skillset of future engineers by deepening their understanding of core technical principles and equipping them to address emerging challenges in engineering practice. Full article

China has made a major strategic decision to build world-class universities and first-class disciplines (abbreviation: Double First-Class), aimed at enhancing the global competitiveness of Chinese higher education. Industry-specific universities have a special historical evolution and distinctive characteristics. China’s industry-specific universities have always played an important role in the higher education system and made significant contributions to the development of the country. However, the “Double First-Class” initiative presents both opportunities and challenges for industry-specific universities. This paper employs the SWOT analysis method to conduct a qualitative analysis of industry-specific universities and proposes a strategic matrix for decision-making. At the same time, from a niche perspective, this paper explores the sustainable development strategies of these institutions within the initiative through the calculation of niche breadth, niche overlap, and their relationship analysis. The research results indicate that the “Double First-Class” initiative has played a positive role in promoting the expansion of universities’ ecological niches. However, it has also led to excessive niche overlap and intense competition. Industry-specific universities face opportunities and challenges in terms of structure, strategy, and policy for their sustainable development. Key findings highlight the importance of strategic alignment with national demand, industry cooperation, and policy orientation for sustainable growth. This paper proposes recommendations for the construction of a sustainable development framework, implementation of strategic initiatives, and policy guidance for universities with industrial characteristics from three perspectives: government, industry, and universities. Full article

Urgency and severity of climate change impacts have become increasingly prominent, making the enhancement of corporate climate risk disclosure (CCRD) a shared demand among regulators, investors, and the general public. From the perspective of irrational behavioral traits, this paper utilizes a sample of A-share-listed companies in China from 2008 to 2022 to empirically examine the impact of executives’ overseas experiences on CCRD and its underlying mechanisms. To measure firm-level climate risk disclosure, we employ machine learning-based textual analysis techniques and match the constructed disclosure indicators with firms’ financial data. The results demonstrate that executives with overseas experience significantly enhance the level of CCRD, and this effect remains consistent after a series of robustness tests. This effect operates through the dual paths of “climate attention allocation enhancement” and “management myopia mitigation”. Moreover, the positive impact of overseas experience is more pronounced among firms in climate-sensitive industries and regions with lower climate awareness. A further analysis of executive overseas experience characteristics shows that executives with experience in developed economies and those with international educational backgrounds exhibit a stronger influence in promoting CCRD. Additionally, an investigation into the economic consequences demonstrates that executives with overseas experiences not only improve firms’ ESG performances but also help reduce ESG rating discrepancies, reinforcing the beneficial role of overseas exposure in corporate governance. The findings not only provided micro-level empirical evidence for the effectiveness of talent recruitment policies in emerging economies but also yielded critical policy implications for regulatory bodies to refine climate disclosure frameworks and enable enterprises to leverage opportunities in low-carbon transition. Full article